Senior Numerical Optimization Engineer (Arsenal 2)

What you'll do

• Formulate production scheduling constraints and objectives; integrate and benchmark optimization solvers.
• Build fast local repair and background global re-planning, including schedule stability and quality evaluation.
• Turn schedules into dispatchable work orders and partner with manufacturing teams to reflect operational needs.

What they ask for

• Deep numerical optimization expertise and experience formulating real-world problems as mathematical models and deploying them in production systems.
• Hands-on experience with optimization solvers or libraries; expert Python skills and scientific computing foundations in NumPy, SciPy, and Pandas.
• Experience with large-scale scheduling or resource allocation and reliable systems under operational constraints.
• Advanced degree in a related quantitative field, or equivalent depth built in practice; U.S. Person status required.

Nice to have

• Ph.D. or experience in RCPSP, job shop scheduling, or dynamic rescheduling.
• Experience with metaheuristics, decomposition, C++ or Rust optimization code, manufacturing systems, or non-traditional optimization hardware.

Pay

$191,000 — $253,000 USD (base salary)

Tools

Python, NumPy, SciPy, Pandas, Gurobi, CPLEX, OR-Tools, SCIP

AI focus

Use AI tooling, including coding assistants and automation, in the development workflow and contribute to team engineering practices.